Framework for a Residential Energy Information System (REMIS) to promote energy efficient behaviour in residential energy end users

Previous studies on residential energy end use behavior reported significant reduction in energy end use of 7% to 24% when feedback is used to modify behavior in an energy efficient manner. However, most feedback systems investigated in previous studies have not benefited from advanced information systems (IS). IS can shape energy efficiency behavior by providing real-time feedback on energy consumption, cost and environmental impact. Such systems represent a new and less-researched subfield of energy informatics. This paper provides a conceptual framework for showing the potential use of IS to modify residential energy use behavior towards better energy efficiency. The framework builds on research in residential energy end use, in particular energy end use behavioral model. It provides conceptual inputs for a blue-print to develop a residential energy management information system (REMIS) and also highlights the use of new information and communications technologies (ICT) that had not been widely used, setting the grounds for further research in this area.

IMF®-Therapy (Intention controlled Myo-Feedback) — an innovative method in the treatment of peripheral nerve lesions

Physiotherapy is a well established part of the rehabilitation of peripheral nerve paralysis. The aim of this type of treatment is to re-establish arbitrary functions by improving the patients’ active and passive mobility as well as their strength and stamina. IMF®-Therapy (Intention controlled Myo-Feedback) is an innovative method in the treatment of peripheral nerve lesions that goes beyond the purely neuro-scientific framework and also takes into account methods and concepts of the psychology of learning. The essential assumption is that things learnt in the past are firmly established in the long term motor memory and can be reactivated by the patient. From results achieved in 32 patients treated with this therapy it can be concluded that IMF®-Therapy may be a promising additional rehabilitation tool in peripheral nerve lesion.

A new framework for interpreting the outcomes of imperfectly blinded controlled clinical trials

It is well known that the outcome of an intervention is affected both by the inherent effects of the intervention and the patient's expectations. For this reason in comparative clinical trials an effort is made to conceal the nature of the administered intervention from the participants in the trial i.e. to blind the trial. Yet, in practice perfect blinding is impossible to ensure or even verify post hoc. The current clinical standard is to follow up the trial with an auxiliary questionnaire, which allows trial participants to express in closed form their belief concerning the intervention, i.e. trial group assignment (treatment or control). Auxiliary questionnaire responses are then used to compute the extent of blinding in the trial in the form of a blinding index. If the estimated extent of blinding exceeds a particular threshold the trial is deemed sufficiently blinded; otherwise, the strength of evidence of the trial is brought into question. This may necessitate that the trial is repeated. In this paper we make several contributions. Firstly, we identify a series of problems of the aforesaid clinical practice and discuss them in context of the most commonly used blinding indexes. Secondly, we formulate a novel approach for handling imperfectly blinded trials. We adopt a feedback questionnaire of the same form as that which is currently in use, but interpret the collected data using a novel statistical method, significantly different from that proposed in the previous work. Unlike the previously proposed approaches, our method is void of any ad hoc free parameters and robust to small changes in the participants' feedback responses. Our method also does not discard any data and is not predicated on any strong assumptions used to interpret participants' feedback. The key idea behind the present method is that it is meaningful to compare only the corresponding treatment and control participant sub-groups, that is, sub-groups matched by their auxiliary responses. A series of experiments on simulated trials is used to demonstrate the effectiveness of the proposed approach and its superiority over those currently in use.

A framework for visual and haptic collaboration in shared virtual spaces

We propose a framework for visual and haptic collaboration in X3D/VRML shared virtual spaces. In this collaborative framework, two pipelines— visual and haptic—complement each other to provide a simple and efficient solution to problem requiring collaboration in shared virtual spaces on the web. We consider shared objects defined as virtual object with their visual and physical properties rendered synchronously on each client computer. We introduce virtual tools which are shared objects associated with interactive and haptic devices. We implemented the proposed ideas as a server-client framework with a dedicated viewer. We discuss two implementation frameworks based on the strong and thin server concepts.

The Supervision of Known Sex Offenders in the Community: Monitoring Progress and Providing Feedback

Case management is the process by which most known sex offenders who live in the community are currently supervised. However, by itself, case management has been shown to have only a modest impact on rates of re-offending, and it is only when case work and/or treatment sessions are introduced, that the benefits become apparent. This paper considers how routinely collecting and feeding back standardized data about client progress towards supervisory goals can be integrated into the offender supervision and case management process. Based on methods that have been shown to be associated with enhanced outcomes in mental health, it is suggested that the implementation of feedback approaches have the potential to both enhance the case management process and improve the effectiveness of those policies which require it.

Elements underpinning successful implementation of a national best-practice child investigative interviewing framework

The complexity and effort required to achieve the widespread implementation of best-practice child interview guidelines justifies the establishment of structures to enhance cross-jurisdictional sharing of expertise, resources and training delivery support. Australia has made great strides toward such a system via work currently being undertaken by police jurisdictions to facilitate greater consistency in education and training for practitioners in the area of investigative interviewing, strengthening collaboration between police and tertiary education institutions, and growing commitment to evidence-based policy and practice among police executives. To maximise progress, however, organisations need to consider the development of a coordinated continual quality improvement approach. This will be impeded by three structural elements: access to field interviews for practitioner feedback and organisational evaluation, interviewer tenure and case tracking. This article discusses each element, their roles within a national best-practice interview framework, and attempts by some jurisdictions to address them. It also provides recommendations to guide further reform.

A multilevel trust management framework for service oriented environment

In service-oriented computing applications, trust management systems are emerging as a promising technology to improve the e-commerce consumers and provider's relationship. Both consumers and providers need to evaluate the trust levels of potential partners before engaging in interactions. The accuracy of trust evaluation greatly affects the success rate of the interaction. This paper addresses the threats and challenges that can compromise the reliability of the current trust management system. This paper studies and examines the importance of the trust factors of the trust management framework, specifically in dealing with malicious feedback ratings from e-commerce users. To improve the reliability of the trust management systems, an approach that addresses feedback-related vulnerabilities is paramount. A multilevel trust management system computes trust by combining different types of information. Using this combination, we introduce a multilevel framework for a new interactive trust management to improve the correctness in estimate of trust information.

Using rubrics in IT: experiences of assessment and feedback at Deakin University

 Students need to develop informed and realistic career aspirations to gain the most from their university studies towards their initial career development. However developing their aspirations, goals, and expectations is a complex process. In Information Technology (IT) no clear career development framework is evident in the literature. We present a pilot study which investigates the career aspirations of novice students studying IT at an Australian University. Through a series of career activities their aspirations were explored with the aim of improving support for career development. Results indicate that students have no clear short- or long- term aspirations, yet believe that programming skills are key to achieve a career in IT.

The HWMD maturity model: a foundational framework to measure effectiveness of institutional research e-infrastructures

There is a nationally recognised need for a framework and tools to measure progress in implementing e-infrastructures for research from an institutional, organisational unit and service perspective. This paper describes the development of a prototype maturity model and self-assessment tool in response to that need. The authors present a background to the environment of technology enabling services for research and the challenges of fluidity of boundaries around traditional services and roles as institutions respond to the needs of the research community. The conceptual basis of the model is presented along with the model and its various elements that explain how the model is in its current form. The information provided in this paper, combined with field site test feedback, will promote discussion and debate amongst the community and opportunities will present to gather input to optimise the model. The next steps would be to further elaborate and test the constructs and indicators of the model in field test sites and to further develop the self -assessment tool.

A comprehensive diagnostic framework for evaluating business intelligence and analytics effectiveness

Business intelligence and analytics (BIA) initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design scienceparadigm to develop a comprehensive BIA effectiveness diagnostic (BIAED) framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriateinput from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants) and use the results toinform BIA strategy formulation. Feedback from participating organizations indicates that the BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

Creating a standardised teaching and learning framework for social work field placements

© 2014, © 2014 Australian Association of Social Workers. Abstract: Mapping and evaluating a student's progress on placement is a core element of social work education but there has been scant attention to indicate how to effectively create and assess student learning and performance. This paper outlines a project undertaken by the Combined Schools of Social Work to develop a common learning and assessment tool that is being used by all social work schools in Victoria. The paper describes how the Common Assessment Tool (CAT) was developed, drawing on the Australian Association of Social Work Practice Standards, leading to seven key learning areas that form the basis of the assessment of a student's readiness for practice. An evaluation of the usefulness of the CAT was completed by field educators, liaison staff, and students, which confirmed that the CAT was a useful framework for evaluating students' learning goals. The feedback also identified a number of problematic features that were addressed in a revised CAT and rating scale.

A graph-based model for context-aware recommendation using implicit feedback data

Recommender systems have been successfully dealing with the problem of information overload. However, most recommendation methods suit to the scenarios where explicit feedback, e.g. ratings, are available, but might not be suitable for the most common scenarios with only implicit feedback. In addition, most existing methods only focus on user and item dimensions and neglect any additional contextual information, such as time and location. In this paper, we propose a graph-based generic recommendation framework, which constructs a Multi-Layer Context Graph (MLCG) from implicit feedback data, and then performs ranking algorithms in MLCG for context-aware recommendation. Specifically, MLCG incorporates a variety of contextual information into a recommendation process and models the interactions between users and items. Moreover, based on MLCG, two novel ranking methods are developed: Context-aware Personalized Random Walk (CPRW) captures user preferences and current situations, and Semantic Path-based Random Walk (SPRW) incorporates semantics of paths in MLCG into random walk model for recommendation. The experiments on two real-world datasets demonstrate the effectiveness of our approach.

Translating evidence-based guidelines to improve feedback practices: the interACT case study

BACKGROUND: There has been a substantial body of research examining feedback practices, yet the assessment and feedback landscape in higher education is described as 'stubbornly resistant to change'. The aim of this paper is to present a case study demonstrating how an entire programme's assessment and feedback practices were re-engineered and evaluated in line with evidence from the literature in the interACT (Interaction and Collaboration via Technology) project. METHODS: Informed by action research the project conducted two cycles of planning, action, evaluation and reflection. Four key pedagogical principles informed the re-design of the assessment and feedback practices. Evaluation activities included document analysis, interviews with staff (n = 10) and students (n = 7), and student questionnaires (n = 54). Descriptive statistics were used to analyse the questionnaire data. Framework thematic analysis was used to develop themes across the interview data. RESULTS: InterACT was reported by students and staff to promote self-evaluation, engagement with feedback and feedback dialogue. Streamlining the process after the first cycle of action research was crucial for improving engagement of students and staff. The interACT process of promoting self-evaluation, reflection on feedback, feedback dialogue and longitudinal perspectives of feedback has clear benefits and should be transferable to other contexts. CONCLUSIONS: InterACT has involved comprehensive re-engineering of the assessment and feedback processes using educational principles to guide the design taking into account stakeholder perspectives. These principles and the strategies to enact them should be transferable to other contexts.

Constructive alignment and the research skills development framework: Using theory to practically align graduate attributes, learning experiences, and assessment tasks in undergraduate midwifery

Midwifery educators have to provide students with stimulating curricula that teach academic and vocational content, as well as transferable skills. The Research Skills Development (RSD) framework provides a conceptual model that allows educators to explicitly scaffold the development of their students’ research skills. This paper aims to demonstrate the effective use of the RSD framework and constructive alignment theory to redesign a second-year Midwifery assessment task.The assessment task was changed into a scenario-based question to better reflect the unit learning objectives and expected graduate attributes. Students were provided with extra time in class to explore the assessment task in a peer environment. Following the return of their assessments, students were asked to complete a questionnaire to evaluate the effectiveness of the assessment redesign. We show that using a constructively aligned scenario-based assessment task in a second year unit more successfully articulated the expected graduate attributes of midwives. Qualitative and quantitative feedback suggested that students and staff appreciated a more clinically- relevant assessment task. This paper demonstrates that the use of the RSD framework to constructively aligngraduate attributes, learning experiences, and assessment tasks allows for the transformation of undergraduate assessment into a learning experience relevant to clinical practice.

Maximizing real-time streaming services based on a multi-servers networking framework

In recent years, we have witnessed substantial exploitation of real-time streaming applications, such as video surveillance system on road crosses of a city. So far, real world applications mainly rely on the traditional well-known client-server and peer-to-peer schemes as the fundamental mechanism for communication. However, due to the limited resources on each terminal device in the applications, these two schemes cannot well leverage the processing capability between the source and destination of the video traffic, which leads to limited streaming services. For this reason, many QoS sensitive application cannot be supported in the real world. In this paper, we are motivated to address this problem by proposing a novel multi-server based framework. In this framework, multiple servers collaborate with each other to form a virtual server (also called cloud-server), and provide high-quality services such as real-time streams delivery and storage. Based on this framework, we further introduce a (1-?) approximation algorithm to solve the NP-complete "maximum services"(MS) problem with the intention of handling large number of streaming flows originated by networks and maximizing the total number of services. Moreover, in order to backup the streaming data for later retrieval, based on the framework, an algorithm is proposed to implement backups and maximize streaming flows simultaneously. We conduct a series of experiments based on simulations to evaluate the performance of the newly proposed framework. We also compare our scheme to several traditional solutions. The results suggest that our proposed scheme significantly outperforms the traditional solutions.